Learning-based automated segmentation of the carotid artery vessel wall in dual-sequence MRI using subdivision surface fitting.

Journal: Medical physics
Published Date:

Abstract

PURPOSE: The quantification of vessel wall morphology and plaque burden requires vessel segmentation, which is generally performed by manual delineations. The purpose of our work is to develop and evaluate a new 3D model-based approach for carotid artery wall segmentation from dual-sequence MRI.

Authors

  • Shan Gao
    Department of Mathematics and Statistics, Yunnan University, China.
  • Ronald van 't Klooster
    Department of Radiology, Division of Image Processing, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands.
  • Pieter H Kitslaar
    Department of Radiology, Division of Image Processing, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands.
  • Bram F Coolen
    Department of Radiology, Academic Medical Center, 1100 DD, Amsterdam, The Netherlands.
  • Alexandra M van den Berg
    Department of Radiology, Academic Medical Center, 1100 DD, Amsterdam, The Netherlands.
  • Loek P Smits
    Department of Radiology, Academic Medical Center, 1100 DD, Amsterdam, The Netherlands.
  • Rahil Shahzad
    Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden PO Box 9600, 2300 RC, The Netherlands. Electronic address: r.shahzad@lumc.nl.
  • Denis P Shamonin
    Department of Radiology, Division of Image Processing, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands.
  • Patrick J H de Koning
    Department of Radiology, Division of Image Processing, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands.
  • Aart J Nederveen
    Departments of Radiology and Nuclear Medicine (C.P.S.B., A.J.N., P.v.O., R.N.P.) and Cardiology (S.M.B.), Amsterdam University Medical Centers, Location Academic Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.J.M.W.); Department of Research and Development, Pie Medical Imaging BV, Maastricht, the Netherlands (J.P.A.); and Departments of Cardiology (G.P.B., S.A.J.C.) and Radiology (T.L.), University Medical Center Utrecht, Utrecht, the Netherlands.
  • Rob J van der Geest
    Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden PO Box 9600, 2300 RC, The Netherlands.